{"id":"W2951488859","doi":"10.1016/b978-0-12-809633-8.20900-x","title":"Adaptive Radiation in Microbes","year":2019,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Biofield Effects and Biophysics","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Adaptive radiation; Diversification (marketing strategy); Ecological niche; Adaptive evolution; Biology; Natural selection; Ecology; Niche; Biodiversity; Mutualism (biology); Lineage (genetic); Evolutionary biology; Selection (genetic algorithm); Computer science; Artificial intelligence; Gene; Habitat","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000147828,0.0006898373,0.0003828755,0.0005707039,0.0005252383,0.001637364,0.0005552862,0.001072232,0.05496586],"category_scores_gemma":[0.000183243,0.0002049969,0.0002339876,0.0006318101,0.0008049231,0.001608682,0.001017807,0.001648267,0.0214009],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006713786,"about_ca_system_score_gemma":0.0003664266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005790548,"about_ca_topic_score_gemma":0.00119784,"domain_scores_codex":[0.999935,0.00001087086,0.000002662191,0.0000176812,0.00002744843,0.0000064282],"domain_scores_gemma":[0.9999623,0.000014024,0.000003082777,0.000006553201,0.000007105689,0.000006833982],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002855989,0.00004096344,0.000149303,0.0006633449,0.00001150484,0.0001629022,0.0004308924,0.0005744169,0.01533959,0.1833524,0.09638973,0.7028565],"study_design_scores_gemma":[0.00000256926,0.00001478819,0.0001913089,0.0001520001,0.000003149473,0.0001706763,0.00006296634,0.0001027479,0.0008457386,0.02535758,0.9730921,0.000004326575],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.00259357,0.1166957,0.01035291,0.002961995,0.003865894,0.00004396158,0.0001663875,0.0002276903,0.8630918],"genre_scores_gemma":[0.01245513,0.04996853,0.006092233,0.001479742,0.00135424,0.00006115823,0.0002077959,0.0001024385,0.9282786],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05496586,"threshold_uncertainty_score":0.1838791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01213610494011475,"score_gpt":0.2306685451281067,"score_spread":0.2185324401879919,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}